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Global high-resolution emissions of soil NO(x), sea salt aerosols, and biogenic volatile organic compounds
Natural emissions of air pollutants from the surface play major roles in air quality and climate change. In particular, nitrogen oxides (NO(x)) emitted from soils contribute ~15% of global NO(x) emissions, sea salt aerosols are a major player in the climate and chemistry of the marine atmosphere, an...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239948/ https://www.ncbi.nlm.nih.gov/pubmed/32433468 http://dx.doi.org/10.1038/s41597-020-0488-5 |
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author | Weng, Hongjian Lin, Jintai Martin, Randall Millet, Dylan B. Jaeglé, Lyatt Ridley, David Keller, Christoph Li, Chi Du, Mingxi Meng, Jun |
author_facet | Weng, Hongjian Lin, Jintai Martin, Randall Millet, Dylan B. Jaeglé, Lyatt Ridley, David Keller, Christoph Li, Chi Du, Mingxi Meng, Jun |
author_sort | Weng, Hongjian |
collection | PubMed |
description | Natural emissions of air pollutants from the surface play major roles in air quality and climate change. In particular, nitrogen oxides (NO(x)) emitted from soils contribute ~15% of global NO(x) emissions, sea salt aerosols are a major player in the climate and chemistry of the marine atmosphere, and biogenic emissions are the dominant source of non-methane volatile organic compounds at the global scale. These natural emissions are often estimated using nonlinear parameterizations, which are sensitive to the horizontal resolutions of inputted meteorological and ancillary data. Here we use the HEMCO model to compute these emissions worldwide at horizontal resolutions of 0.5° lat. × 0.625° lon. for 1980–2017 and 0.25° lat. × 0.3125° lon. for 2014–2017. We further offer the respective emissions at lower resolutions, which can be used to evaluate the impacts of resolution on estimated global and regional emissions. Our long-term high-resolution emission datasets offer useful information to study natural pollution sources and their impacts on air quality, climate, and the carbon cycle. |
format | Online Article Text |
id | pubmed-7239948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72399482020-06-04 Global high-resolution emissions of soil NO(x), sea salt aerosols, and biogenic volatile organic compounds Weng, Hongjian Lin, Jintai Martin, Randall Millet, Dylan B. Jaeglé, Lyatt Ridley, David Keller, Christoph Li, Chi Du, Mingxi Meng, Jun Sci Data Data Descriptor Natural emissions of air pollutants from the surface play major roles in air quality and climate change. In particular, nitrogen oxides (NO(x)) emitted from soils contribute ~15% of global NO(x) emissions, sea salt aerosols are a major player in the climate and chemistry of the marine atmosphere, and biogenic emissions are the dominant source of non-methane volatile organic compounds at the global scale. These natural emissions are often estimated using nonlinear parameterizations, which are sensitive to the horizontal resolutions of inputted meteorological and ancillary data. Here we use the HEMCO model to compute these emissions worldwide at horizontal resolutions of 0.5° lat. × 0.625° lon. for 1980–2017 and 0.25° lat. × 0.3125° lon. for 2014–2017. We further offer the respective emissions at lower resolutions, which can be used to evaluate the impacts of resolution on estimated global and regional emissions. Our long-term high-resolution emission datasets offer useful information to study natural pollution sources and their impacts on air quality, climate, and the carbon cycle. Nature Publishing Group UK 2020-05-20 /pmc/articles/PMC7239948/ /pubmed/32433468 http://dx.doi.org/10.1038/s41597-020-0488-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Weng, Hongjian Lin, Jintai Martin, Randall Millet, Dylan B. Jaeglé, Lyatt Ridley, David Keller, Christoph Li, Chi Du, Mingxi Meng, Jun Global high-resolution emissions of soil NO(x), sea salt aerosols, and biogenic volatile organic compounds |
title | Global high-resolution emissions of soil NO(x), sea salt aerosols, and biogenic volatile organic compounds |
title_full | Global high-resolution emissions of soil NO(x), sea salt aerosols, and biogenic volatile organic compounds |
title_fullStr | Global high-resolution emissions of soil NO(x), sea salt aerosols, and biogenic volatile organic compounds |
title_full_unstemmed | Global high-resolution emissions of soil NO(x), sea salt aerosols, and biogenic volatile organic compounds |
title_short | Global high-resolution emissions of soil NO(x), sea salt aerosols, and biogenic volatile organic compounds |
title_sort | global high-resolution emissions of soil no(x), sea salt aerosols, and biogenic volatile organic compounds |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239948/ https://www.ncbi.nlm.nih.gov/pubmed/32433468 http://dx.doi.org/10.1038/s41597-020-0488-5 |
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